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Related Experiment Video

Updated: May 26, 2026

Using a Murine Model of Psychosocial Stress in Pregnancy as a Translationally Relevant Paradigm for Psychiatric Disorders in Mothers and Infants

Using a Murine Model of Psychosocial Stress in Pregnancy as a Translationally Relevant Paradigm for Psychiatric Disorders in Mothers and Infants

Published on: June 13, 2021

Dynamic energy-balance model predicting gestational weight gain.

Diana M Thomas¹, Jesus E Navarro-Barrientos, Daniel E Rivera

¹Center for Quantitative Obesity Research, Montclair State University, NJ 07043, USA. thomasdia@mail.montclair.edu

The American Journal of Clinical Nutrition

|December 16, 2011

Summary

A new mathematical model predicts gestational weight gain (GWG) based on energy intake, aiding healthcare providers in setting personalized goals for pregnant women to improve maternal and fetal outcomes.

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Area of Science:

Reproductive Medicine
Biomathematics
Maternal Health

Background:

Excessive gestational weight gain (GWG) is linked to postpartum weight retention.
Recommended GWG ranges are associated with better maternal and fetal outcomes.
Most pregnant women exceed recommended GWG ranges, necessitating better clinical tools.

Purpose of the Study:

To develop and validate a differential equation model for energy balance during pregnancy.
To predict GWG based on changes in energy intake.

Main Methods:

Developed prepregnancy BMI-dependent mathematical models using longitudinal data from 63 subjects.
Measured gestational changes in fat-free mass, fat mass, total body water, and energy expenditure.
Validated models using 2 independent studies.

Main Results:

Models accurately fit data for women across low, normal, and high prepregnancy BMI categories.
Model predictions for fat-free mass, fat mass, and total body water closely matched actual measurements (within 1 kg).

Conclusions:

The energy-balance model offers reliable predictions of GWG influenced by energy intake.
The Web-based applet implementation allows for widespread clinical use by healthcare providers and pregnant women.